Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods

• Santiago Porras ^[1] ; Esteban Jove ^[2] ; Bruno Baruque ^[1] ; José Luis Calvo-Rolle ^[2]
  1. [1] Universidad de Burgos

     Universidad de Burgos

     Burgos, España

     
  2. [2] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
• Localización: Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings / coord. por Hugo Sanjurjo González, Iker Pastor López , Pablo García Bringas , Héctor Quintián Pardo , Emilio Santiago Corchado Rodríguez , 2021, ISBN 978-3-030-86271-8, págs. 500-510
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • The environmental impact caused by greenhouse gasses emissions derived from fossil fuels, gives rise to the promotion of green policies. In this context, geothermal energy systems has experienced a significant increase in its use. The efficiency of this technology is closely linked with factors such as ground temperature, weather and season. This work develops the analysis of the behaviour of a geothermal system placed in a bioclimatic house during one year, by means of projectionists and clustering methods.